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Towards Wearable Electromyography by Sensor Reduction for Personalized Musculoskeletal Trunk Models in Compression Force Estimation during Lifting – An Inverse Synergy-Based Approach
Rook, J.W.A. (2024) Towards Wearable Electromyography by Sensor Reduction for Personalized Musculoskeletal Trunk Models in Compression Force Estimation during Lifting – An Inverse Synergy-Based Approach.
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| Abstract: | Occupational lifting tasks are a significant risk factor for lower back pain (LBP) and require assessment of compression forces on the lumbosacral joint. Wearable Personalized Musculoskeletal Trunk Models can monitor these forces in real-time, but their adoption is hindered by the need for many (12) electromyography (EMG) sensors. This study introduces an inverse synergy-based approach to reconstructing unmeasured normalized EMG linear envelopes from a reduced set of measured envelopes. We tested this approach on 12 participants performing various lifting tasks (squat, stoop, and twist techniques) with different weights (0, 7.5, and 15 kg). The results show that we could reduce the sensor count from 12 to 2 while accurately estimating joint moments and compression forces compared to the full-sensor model. |
| Item Type: | Essay (Master) |
| Faculty: | ET: Engineering Technology |
| Subject: | 44 medicine |
| Programme: | Biomedical Engineering MSc (66226) |
| Link to this item: | https://purl.utwente.nl/essays/98686 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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